An Android based wireless ECG monitoring system for cardiac arrhythmia

Wahane, Varsha; Ingole, Prashant V.

doi:10.1109/hic.2016.7797727

Cited by 15 publications

(8 citation statements)

References 7 publications

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“…The AD8232 can execute a two-pole high-pass ilter for eliminating motion arti icial facts and the electrode half-cell potential. This ilter is tightly coupled with the instrumentation ampli ier design to allow both large gain (Figure 2) [12][13][14].…”

Section: Ecg Module (Ad8232)mentioning

confidence: 99%

“…The proposed system in this paper, is portable, it does not need to be connected to a pc or other device, and can be used in any environment with a cost factor being minimum very affordable to all the lower and middle class family in every countries [12]. In additional, the plug-in for the cable is a male sound plug which will make the cable to easily removed or inserted into the ampli ier board.…”

Section: Introductionmentioning

confidence: 99%

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Automatic heartbeat monitoring system

Franchini¹

2019

Arch Case Rep

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Section: Ecg Module (Ad8232)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatic heartbeat monitoring system

Franchini¹

2019

Arch Case Rep

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“…A diagnose of heart disease requires an estimation of the bio‐signals from patients as a significant element . Among the different gadgets for estimating and identifying coronary illness, ECG is favored because of its accuracy, accommodation, and minimal effort, despite the fact that there are different options are accessible .…”

Section: Introductionmentioning

confidence: 99%

EPOWT: A denoising technique of the electrocardiography signal transmission via 5G wireless communications

Bhuyar¹,

Kureshi

2019

Trans Emerging Tel Tech

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This article provides a thorough review of 5G wireless electrocardiography (ECG) communication for actual cardiac signal using both technical and clinical features for the purpose of recommending real‐time observation. Major issue regarding this frame work is the distortion and smoothness of ECG signal for the cardiologist advice also it needs correct diagnosis at the proper time. Extensive 5G wireless simulated scenarios are used to supervise the compressed ECG signal on reception. An efficient ECG transmission protocol is a modern and consistent ECG transmission protocol which is used to retransmit the noise signals. Thus, we are filtering the ECG signals to improve the quality which may directly affects the medical diagnosis. Because, time and frequency indicators can be obtained by the wavelet analysis but majority of the error functions cannot be flexible to various signals because of the static transition curve of threshold. Hence, we proposed a new emperor penguin optimization (EPO) together with wavelet thresholding (EPOWT) method. Here, the EPOWT is estimated through the means of real‐time ECG records. The outcomes of filtering process shows that the proposed EPOWT approach can achieve smooth threshold transition and soft thresholding bring the wavelet coefficient. EPOEPO algorithm is used to improve its flexibility to different signals. The EPOWT can generate an essential noise‐free signal by balancing the smoothness and signal distortion filtering for transmission. The proposed method can attains 2.9 seconds delay during simulation. Thus, the 5G wireless channel parameter's functioning zone is simple to acquire.

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“…Several researchers have proposed research related to vital sign systems, including ZigBee-based heart rate monitoring [3], Android [4], radio frequency identification (RFID) [5], portable intelligent ECG monitor [6], and dry-contact electrodes [7]. However, the author only focuses on monitoring ECG not yet developing to blood pressure.…”

Section: Introductionmentioning

confidence: 99%

Design of Health Telemonitoring System on Vital Sign Patient’s Web-Based

Subito¹,

Alamsyah²,

Amir³

2019

Proceedings of the Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30

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Wireless-based health monitoring systems are now becoming interesting to develop, especially monitoring vital signs such as respiration, heartbeat, brain signal, body temperature, and blood pressure. Vital sign monitoring is essential for doctors and nurses as a form of early prevention in maintaining patient safety, especially for elderly patients. Examination of heart rate and body temperature requires fast service and handling. However, the problem that occurs at this time is the time needed by doctors or nurses to provide diagnostic results long enough, the equipment used by nurses in examining patients generally still use the manual system (see and record patient conditions), and the number of medical personnel which limited with increasing numbers patients certainly slow down health services. To overcome these problems, the researcher proposes a device that is capable of monitoring vital sign patients in real time. The aim of this research is to help doctors and nurses improve patient health services, especially in showing the results of the heartbeat, minimizing the occurrence of diagnostic errors, and reducing the risk of death. The proposed design has an average accuracy in detecting heartbeat reach is 97.90% and blood pressure reach is 97.69%.

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An Android based wireless ECG monitoring system for cardiac arrhythmia

Cited by 15 publications

References 7 publications

Automatic heartbeat monitoring system

Automatic heartbeat monitoring system

EPOWT: A denoising technique of the electrocardiography signal transmission via 5G wireless communications

Design of Health Telemonitoring System on Vital Sign Patient’s Web-Based

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